Joint inversion of geophysical data for geologic carbon sequestration monitoring: A differentiable physics‐informed neural network model
Geophysical monitoring of geologic carbon sequestration is critical for risk assessment
during and after carbon dioxide (CO2) injection. Integration of multiple geophysical …
during and after carbon dioxide (CO2) injection. Integration of multiple geophysical …
[HTML][HTML] Managing reservoir dynamics when converting natural gas fields to underground hydrogen storage
On the path to a net-zero-carbon economy, large-scale energy storage will be an essential
part of a renewable energy system. Hydrogen generated from renewable or zero-carbon …
part of a renewable energy system. Hydrogen generated from renewable or zero-carbon …
Fast CO2 saturation simulations on large-scale geomodels with artificial intelligence-based Wavelet Neural Operators
Carbon capture and storage (CCS) projects rely on numerical reservoir simulations for
determining where and how much CO2 can safely be stored underground. Conventional …
determining where and how much CO2 can safely be stored underground. Conventional …
A deep learning-based workflow for fast prediction of 3D state variables in geological carbon storage: A dimension reduction approach
Deep learning (DL) models are extensively used as surrogate models for high-fidelity
simulations of multiphase fluid flow in porous media at large scales, enabling fast forecasts …
simulations of multiphase fluid flow in porous media at large scales, enabling fast forecasts …
Deep learning-based geological parameterization for history matching CO2 plume migration in complex aquifers
History matching is crucial for reliable numerical simulation of geological carbon storage
(GCS) in deep subsurface aquifers. This study focuses on inferring highly complex aquifer …
(GCS) in deep subsurface aquifers. This study focuses on inferring highly complex aquifer …
A surrogate model for predicting ground surface deformation gradient induced by pressurized fractures
Fast and reliable estimation of engineered fracture geometries is a key factor in controlling
undesirable fractures and enhancing stimulation design. Measuring the surface deformation …
undesirable fractures and enhancing stimulation design. Measuring the surface deformation …
Surrogate model for geological CO2 storage and its use in hierarchical MCMC history matching
Deep-learning-based surrogate models show great promise for use in geological carbon
storage operations. In this work we target an important application—the history matching of …
storage operations. In this work we target an important application—the history matching of …
Multi-fidelity Fourier neural operator for fast modeling of large-scale geological carbon storage
Deep learning-based surrogate models have been widely applied in geological carbon
storage (GCS) problems to accelerate the prediction of reservoir pressure and CO 2 plume …
storage (GCS) problems to accelerate the prediction of reservoir pressure and CO 2 plume …
[HTML][HTML] Imaging Pressure Distribution in Geological Reservoirs from Surface Deformation Data
Geological reservoirs are widely used for storing or disposing of various fluids and gases,
including groundwater, wastewater, carbon dioxide, air, gas, and hydrogen. Monitoring …
including groundwater, wastewater, carbon dioxide, air, gas, and hydrogen. Monitoring …
Assessing CO2 Leakage Risks and Fault Stability: A Coupled Flow and Geomechanics Simulation with Uncertainty Analysis of Fault Properties
This study investigates coupled flow and geomechanics simulations of carbon dioxide (CO2)
injection within a hypothetical saline aquifer. We intentionally set a scenario to enable fluid …
injection within a hypothetical saline aquifer. We intentionally set a scenario to enable fluid …